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The “Montreal protocol on substances that deplete the ozone layer” obliges industrial countries to reimburse developing countries ‐ through new and additional resources ‐ all agreed incremental costs incurred by them in their efforts to save the ozone layer. To this end, a multilateral fund was established in 1990. The fund’s decision‐making procedures grant developing countries the same voting powers as industrial countries ‐ an almost revolutionary precedent in North‐South relations. In this article, the work of the Multilateral Ozone Fund is being analysed, with special emphasis on the development and implementation of the notion of “all agreed incremental costs” between industrial and developing countries. Since comparable institutional settings have been stipulated in the more recent treaties on climate change and biological diversity, in the concluding section five “lessons” are drawn from ozone politics for other international environmental agreements, in particular the emerging climate regime.

Managing differences is a difficult undertaking, especially considering the difficulties arising from the unconscious functions of our brains. Organisations should strive to counteract the potentially harmful effects of unconscious bias by implementing policies that support bias-aware management and decision-making. Although it is obvious that bias cannot be completely eliminated, there is enough data, as discussed in this work, to demonstrate that unconscious bias and stereotypes can be addressed and decreased with mindfulness-based interventions (MBIs) to some extent. Mindfulness involves the process of bringing non-judgemental awareness to experience by striving for full attention in the present moment. In this context, including mindfulness practises into training programmes for equality, diversity, and inclusion may serve as an accelerator for recognising hidden biases, reducing stereotypes, eliminating discrimination, and encouraging cognitive changes. This chapter explains the ways in which MBIs can be used to promote cognitive changes and comprehend the automatic and unconscious nature of emotions and thoughts in order to remove barriers between all differences in the workplace.

The purpose of this paper is to introduce librarians, faculty, and other interested individuals to contemporary German literature in English translation.

German‐language authors born in 1950 or later and listed on the Contemporary Living Authors Comprehensive List developed by the German vendor Otto Harrassowitz are searched in OCLC's WorldCat database to determine the existence of English translations. A bio‐bibliographical list is then developed featuring all contemporary German‐language authors who have achieved an English language translation of at least one of their literary works.

Of the approximately 1,400 writers on Harrassowitz's comprehensive list, a surprisingly large number of almost 80 authors of the younger generation (born in 1950 or later) have been translated into English.

This bio‐bibliography of contemporary German belles lettres (of the younger generation) in English translation is the first of its kind. It can be used by librarians to check their current library holdings and to expand their collections of German literature in English translation.

The UN 2030 Agenda defines sustainable development (SD) in a multidimensional approach that encompasses economic, social, and environmental aspects. The Sustainable Development Goals (SDGs) serve as conceptual ideals, specific targets, and standards that determine global and local priorities. SD falls into the realm of wicked problems due to its multilayered definitions, untamable nature, and possible solutions at an operational level. Addressing these complex problems and challenges requires the localization of the SDGs and the creation of a new governance model tailored to sustainability. These efforts aim to improve policy coherence for SD. This contribution focuses on the importance of localizing the SDGs, which aims to streamline the 2030 Agenda and tailor the SDGs to local needs. Therefore, the importance of multi-stakeholder participation in the formulation of local definitions of the SDGs, policymaking strategies, and consequently the measurement of the SDGs is emphasized. This chapter provides insights into the specific tools and strategies used by the Metropolitan Cities (MCs) in the implementation of coherent SDG policies, with Florence serving as a case study. Despite the challenges faced by MCs, including ambiguous leadership, conflicting objectives between municipalities, and challenges in coherent policy design, this institutional level shows interesting elements, such as functions of long-term planning and coordination, inclusive tools of participation, and the development of new capacities (political and administrative) that could be useful for strengthening governance for SD.

This paper systematically evaluates the existing literature of innovations in freight transport, including all modes, to uncover the key research themes and methodologies employed by researchers to study innovations and their implications in this industry. It analyses the role of transport and the impact of innovations during crises, such as COVID-19.

Qualitative and quantitative analysis of the innovations in freight transport unravels the pre-requisites of such endeavours in achieving a resilient and sustainable transport network that effectively and efficiently operates during a crisis. The authors performed keyword co-occurrence network (KCON) analysis and research focus parallelship network (RFPN) analysis using BibExcel and Gephi to determine the major resulting research streams in freight transport.

The RFPN identified five emerging themes: transport operations, technological innovation, transport economics, transport policy and resilience and disaster management. Optimisation and simulation techniques, and more recently, artificial intelligence and machine learning (ML) approaches, have been used to model and solve freight transport problems. Automation innovations have also penetrated freight and supply chains. Information and communication technology (ICT)-based innovations have also been found to be effective in building resilient supply chains.

Given the growth of e-commerce during COVID-19 and the resulting logistics demand, along with the need for transporting food and medical emergency products, the role of automation, optimisation, monitoring systems and risk management in the transport industry has become more salient. Transport companies need to improve their operational efficiency using innovative technologies and data science for informed decision-making.

This paper advises researchers and practitioners involved in freight transport and innovation about main directions and gaps in the field through an integrated approach for evaluating research undertaken in the area. This paper also highlights the role of crisis, e.g. COVID-19, and its impacts on freight transport. Major contributions of this paper are as follows: (1) a qualitative and quantitative, systematic and effective assessment of the literature on freight transport through a network analysis of keywords supplemented by a review of the text of 148 papers; (2) unravelling major research areas; (3) identifying innovations in freight transport and their classification as technological and non-technological and (4) investigating the impact of crises and disruptions in freight transport.

Performing tasks in public spaces can be demanding due to task complexity. Systems that can keep track of the current task state may help their users to successfully fulfill a task. These systems, however, require major implementation effort. The purpose of this paper is to investigate if and how a mobile information assistant which has only basic task-tracking capabilities can support users by employing a least effort approach. This means, we are interested in whether such a system is able to have an impact on the way a workflow in public space is perceived.

The authors implement and test AIRBOT, a mobile chatbot application that can assist air passengers in successfully boarding a plane. The authors apply a three-tier approach and, first, conduct expert and passenger interviews to understand the workflow and the information needs occurring therein; second, the authors implement a mobile chatbot application providing minimum task-tracking capabilities to support travelers by providing boarding-relevant information in a proactive manner. Finally, the authors evaluate this application by means of an in situ study (n = 101 passengers) at a major European airport.

The authors provide evidence that basic task-tracking capabilities are sufficient to affect the users’ task perception. AIRBOT is able to decrease the perceived workload airport services impose on users. It has a negative impact on satisfaction with non-personalized information offered by the airport, though.

The study shows that the number of features is not the most important means to successfully provide assistance in public space workflows. The study can, moreover, serve as a blueprint to design task-based assistants for other contexts.